Lightweight DDoS Attack Detection Using Bayesian Space-Time Correlation

Lightweight DDoS Attack Detection Using Bayesian Space-Time Correlation

DDoS attacks are still one of the primary sources of problems on the Internet and continue to cause significant financial losses for organizations. To mitigate their impact, detection should preferably occur close to the attack origin, e.g., at home routers or edge servers. However, relying on packe...

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Bibliographic Details
Main Authors: Gabriel Mendonca, Rosa M. M. Leao, Edmundo De Souza E. Silva, Don Towsley
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
DDoS attacks
network security
Mirai botnet
machine learning algorithms
IoT
Bayesian model
Online Access:https://ieeexplore.ieee.org/document/10937175/
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